December 06, 2004
DataSynapse Inc announced that Goldman Sachs led a round of venture financing with participation from existing investors Bain Capital, NeoCarta Ventures, Intel Capital, New York City Investment Fund, Silicon Alley Venture Partners, Stonehenge Capital and Wand Partners. In addition to its investment, Goldman Sachs has selected DataSynapse's GridServer software for deployment in its global risk management area in the first quarter of 2005.
"Goldman Sachs is a leader in leveraging Grid-based computing for demanding financial applications," said Peter Perrone, vice president with Goldman Sachs. "DataSynapse's products will help Goldman Sachs continue to scale our shared computer resources across our businesses."
Goldman Sachs joins a growing roster of 30 clients who rely on GridServer to help them realize the benefits of an agile and responsive IT infrastructure. The relationship reinforces DataSynapse's leadership position in the demanding financial services sector.
"We are proud to add Goldman Sachs to our global family of customers and partners," said Peter Lee, CEO of DataSynapse. "Our strategic partnership with Goldman Sachs adds momentum to our efforts to accelerate a standards-based, utility computing environment that can immediately respond to changing business requirements."
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.